Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Associated Media:
Description:
It is estimated that 95% of the two million deaths due to pneumonia occur in developing countries. In Bangladesh alone, six million cases of pneumonia are diagnosed every year. Unfortunately, diagnostic methods to date lack sensitivity or are difficult to fully standardized. The lack of a reliable diagnostic hampers the execution of evidence based interventions, impacting the monitoring of interventions, like vaccines.
The “gold standard” for defining pneumonia are chest X-rays. However, the interpretations are subjective, sometimes requiring multiple radiologists/clinicians to reach a conclusive diagnosis. As there are few well-trained radiologists/clinicians in resource-poor settings, having a tool to aid in the diagnosis of pneumonia would be invaluable in the impact monitoring of interventions.
The aim of the project is to construct a computational framework to automatically and systematically interpret paediatric chest X-rays to diagnose pneumonia.
For further information, see: https://www.ed.ac.uk/usher/respire/acute-respiratory-disorders/interpret-chest-x-rays
Coverage
Spatial:
United Kingdom
Typical Age Range:
0-5
Provenance
Origin
Purposes:
Study
Collection Situations:
Community
Temporal
Accrual Periodicity:
Static
Distribution Release Date:
31 December 2020
Start Date:
01 July 2018
End Date:
31 December 2020
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Access Service:
Access service varies on a project-by-project basis. Contact the RESPIRE team
for further in formation
Delivery Lead Time:
Not applicable
Jurisdictions:
- GB-ENG
- GB-SCT
- GB-WLS
Data Controller:
BREATHE
Usage
Data Use Limitations:
General research use
Resource Creators:
RESPIRE
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
text
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Findings
1
Count
31 December 2020